Gabriela Csurka
gabrielacsurka.bsky.social
Gabriela Csurka
@gabrielacsurka.bsky.social
Principal research scientist at Naver Labs Europe, I am interested in most aspects of computer vision, including 3D scene reconstruction and understanding, visual localization, image-text joint representation, embodied AI, ...
Reposted by Gabriela Csurka
For which the code is also available github.com/naver/pow3r
GitHub - naver/pow3r
Contribute to naver/pow3r development by creating an account on GitHub.
github.com
June 12, 2025 at 1:41 PM
Reposted by Gabriela Csurka
1/ 📄 Paper 1:
"DUNE: Distilling a UNiversal Encoder from Heterogeneous 2D and 3D Teachers"
We propose DUNE: a ViT-based encoder distilled from multiple specialized 2D & 3D foundation models to unify visual tasks across 2D, 3D and human understanding.
June 9, 2025 at 11:07 AM
Reposted by Gabriela Csurka
Interestingly, the network generalizes very well to many more images than seen during training.
Code IS available here github.com/naver/must3r
I hope it works in your scenarios and you have as much fun as we do playing around with it!
GitHub - naver/must3r: MUSt3R: Multi-view Network for Stereo 3D Reconstruction
MUSt3R: Multi-view Network for Stereo 3D Reconstruction - naver/must3r
github.com
June 12, 2025 at 12:35 PM